• I am moving to a more longer scale, semester like personal cycle. Each cycle is of 3-4 months and is pretty similar to OKRs. I am seeing a few positive changes in what I am able to do now but since there are other confounding factors, I won't say anything very clear at the moment.
• Gave a rough try to speaker embeddings from Real-Time-Voice-Cloning models for a tiny internal dataset. Even though the accents are pretty different (US trained, tested on Indian English), the embeddings are pretty informative and useful.
• I am trying to see how useful I really can make speech/acoustics as a mode of interacting with my machine(s). I have a live list here.

• What’s your ML Test Score? A rubric for ML production systems (breck2016s)
• Transfer learning from speaker verification to multispeaker text-to-speech synthesis (jia2018transfer)
• The Secret Sharer: Evaluating and testing unintended memorization in neural networks (carlini2019secret)
• Generalized end-to-end loss for speaker verification (wan2018generalized)
• One neuron is more informative than a deep neural network for aftershock pattern forecasting (mignan2019one)
• Distributed representations of sentences and documents (le2014distributed)
• Agile Software Development: A History - The Atlantic
• ink/WritingWithInk.md at master · inkle/ink · GitHub
• Novelist Cormac McCarthy’s tips on how to write a great science paper
• Sample Efficient Evolutionary Algorithm for Analog Circuit Design
• No, PHP Doesn't Have Closures « null program

Little less than usual commit counts is an interesting thing to notice. These last couple of weeks had me doing the sort of programming I like rather than what I am forced to do usually. For earlier weeks, I believe I was still doing regular stuff but just a little less.

• Silky Love | Radiolab
• Making Sense Podcast #170 - The Great Uncoupling | Sam Harris
• What did Max Weber mean by the ‘spirit’ of capitalism? | Aeon Ideas

In a world which could not be grasped as a whole, and where there were no universally shared values, most people clung to the particular niche to which they were most committed: their job or profession. They treated their work as a post-religious calling, ‘an absolute end in itself’, and if the modern ‘ethic’ or ‘spirit’ had an ultimate foundation, this was it.

• Divesting | Azimuth
• Rethinking Universities | Azimuth
• Money Is the Oxygen on Which the Fire of Global Warming Burns | The New Yorker
• How smartphones silence what the urban landscape tries to say | Aeon Essays

Bibliography

• [breck2016s] Breck, Cai, Nielsen, Salib & Sculley. 2016. "What’s your ML Test Score? A rubric for ML production systems." , , link. doi.
• [jia2018transfer] Jia, Zhang, Weiss, Wang, Shen, Ren, Nguyen, Pang, Moreno, Wu & others. 2018. "Transfer learning from speaker verification to multispeaker text-to-speech synthesis", 4480-4490, in in: Advances in neural information processing systems, edited by
• [carlini2019secret] Carlini, Liu, Erlingsson, Kos & Song. 2019. "The Secret Sharer: Evaluating and testing unintended memorization in neural networks", 267-284, in in: 28th $\$USENIX$\$ Security Symposium ($\$USENIX$\$ Security 19), edited by
• [wan2018generalized] Wan, Wang, Papir & Moreno. 2018. "Generalized end-to-end loss for speaker verification", 4879-4883, in in: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), edited by
• [mignan2019one] Mignan & Broccardo. 2019. "One neuron is more informative than a deep neural network for aftershock pattern forecasting." arXiv preprint arXiv:1904.01983, , link. doi.
• [le2014distributed] Le & Mikolov. 2014. "Distributed representations of sentences and documents", 1188-1196, in in: International conference on machine learning, edited by